A Unified Narrative for Query Processing in Graph Databases


연구 분야: Databases



학회: 2025 IEEE 41st International Conference on Data Engineering (ICDE)


초록

With the advent of graph data, graph databases have garnered significant research interest and efforts in recent years, especially with respect to graph query processing. There have been a vast suite of methods for efficient graph query processing, especially for the core graph query constructs, regular path queries (RPQs) and subgraph matching queries (SMQs). In the meantime, there is an observable divide among these methods as well as confusion between them and their relational counterparts. We thus propose this tutorial to provide a unified narrative for graph query processing, so as to bridge the gap between existent lines of work and offer a comprehensive view of the query processing workflow in graph databases.


Author Profile
Yue Pang

Peking University Beijing China

China
Author Profile
Lei Zou

Peking University Beijing China

China
Author Profile
M. Tamer Özsu

University of Waterloo Waterloo Canada

Canada

📄 논문 정보

발행 연도 2025년
인용수 8
출판 국가 China, Canada
사이트 IEEE
좋아요 수 0

연관 논문 목록 (414건)